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Case REFERENCES

Project Goal
VALUE ENGINEERING FOR COST SAVINGS
Type of Financial Services Firm
FINANCIAL HOLDINGS COMPANY
Country
MALAYSIA

VALUE ENGINEERING FOR COST SAVINGS

We implemented a machine learning system to undertake the daily risk monitoring and reporting, resulting in a 30% cost savings.
Within the "Risk 4IR 2.0" project, our company implemented cutting-edge artificial intelligence technologies to revolutionize the efficiency of the risk management department in a financial holdings company of a banking group.

COST SAVINGS -30%

Challenges and objectives
  • Delay in preparation of risk reports.
  • High attrition rate in risk management staff.
  • Lack of risk analytic in the report.
Solution
We developed and implemented a machine learning system for predicting and optimizing risk management monitoring and reporting.
Results
  • Achieved a 30% cost savings in the operating expense.
  • Human resource issues are no longer a concern.
  • Risk reports are timely with risk analytics for pre-emptive action.
Project Goal
AUTOMATION OF RISK CONTROL TASKS
Type of Financial Services Firm
ASSET MANAGER
Country
MALAYSIA

AUTOMATION OF RISK CONTROL TASKS

We introduced agentic AI to automate routine tasks in risk management, saved up to 8,000 man-hours with 35% increase in productivity.
The "Credit Automation in Fixed Income" project was initiated to fulfill a gap in risk management of the fixed income portoflio, whereby we developed agentic workflow to automate the workflow.

PRODUCTIVITY +35%

Challenges and objectives
  • Effectively filled the gaps whilst automating routine operations.
  • Increase accuracy in credit reports.
  • Reduce time spent on performing routine tasks.
Solution
We developed and implemented agentic AI using workflows for processing of credit proposals and management of credit risk, such as origination, reviews, and exposure monitoring.
Results
  • Reduced time spent on routine tasks by 8,000 man-hours, allowing the risk management department employees to focus on more strategic aspects of their work.
  • Increased accuracy in credit reports by 25%, minimizing the possibility of financial errors.
  • Improved overall productivity by 35% through the optimization of time and resources.
Project Goal
AI-AUGMENTATION OF PORTFOLIOS
Type of Financial Services Firm
FAMILY OFFICE
Country
SINGAPORE

ai-augMENTATION OF portfolioS

We implemented an AI-powered chatbot to reduce response time to queries and automated workflow, resulting in ROI of 40%.
The project "Enterprise Risk Automation" was initiated to replace the legacy practices with archaic systems using spreadsheets, whereby we re-engineered the entire process with AI-augmented workflow.

RETURN ON INVESTMENT +40%

Challenges and objectives
  • Low productivity setting due to manual processes and decentralized data.
  • No risk analytics to gauge the portfolio financial risks.
Solution
We developed and implemented a solution that incorporates existing workflows into AI-augmented processes with autonomous credit report generation for risk management purposes.
Results
  • Productivity increased by 40% from time savings and efficiency gain.
  • Human errors are significantly reduced in reports.
  • Pro-active and dynamic risk management of portfolios.
Project Goal
AI-ASSISTED CLIMATE RISK MANAGEMENT
Type of Financial Services Firm
BANKING INSTITUTION
Country
MALAYSIA

ai-ASSISTED CLIMATE RISK MANAGEMENT

We implemented an autonomous AI-agent to forecast acute physical risk due to flood event, resulting in a focused pool of transitioning clients that the bank can engage in sustainability financing.
We were approached for the project "Net Zero Transition Financing" to implement a solution for meeting regulatory expectation on climate risk scenario analysis and acute physical risk modelling.

REGULATORY COMPLIANCE 100%

Challenges and objectives
  • Gaps in meeting regulatory requirements.
  • Absence of climate risk methodologies for effective control of exposure.
  • Unavailability of data for client engagement in sustainable financing.
Solution
We implemented a chatbot system with natural language processing capabilities for instant responses to queries on portfolio climate risk and an agentic AI for research on flood vulnerability of risk parties.
Results
  • Full compliance with regulatory requirements on climate risk management and scenario analysis.
  • Developed targets for client engagement using risk-based selection for sustainability financing.
  • Put in place risk appetite for climate VaR.
Project Goal
MARKET LIQUIDITY MANAGEMENT
Type of Financial Services Firm
ASSET OWNER
Country
SINGAPORE

MARKET LIQUIDITY MANAGEMENT

We implemented a risk solution that captures the market liquidity of the asset classes for management of liquidity risk together with scenario analysis of various parameters that impact the liquidity.
We were approached for the project "Liquidity Optimization" to implement a solution for analyzing market liquidity of various asset classes, especially traded instruments covering both local and foreign markets.

RISK ANALYTIC INSIGHTS 100%

Challenges and objectives
  • Lack of direction in forecasting liquidity.
  • Difficulty in optimizing cash holdings against liquidity requirement.
  • Need a centralized view of house level liquidity position.
Solution
We implemented a 4-factor liquidity risk quantification methodology to assist in the management of liquidity risk, covering all asset classes across different markets. This is supplemented with liquidity scenario analysis.
Results
  • Forward-looking insights on market liquidity risk of the portfolios.
  • Capability to quantify stress test impact on the valuation of the portfolio due to changes in the parameters of market liquidity.
  • Ability to optimize the cash holdings of the portfolios to maximize return against the balance of maintaining liquidity requirement.